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All Journal Journal of Management Accounting, Tax and Production Nomico
Siti Arini
Sekolah Tinggi Agama Islam Negeri Bengkalis
Economics, Econometrics & Finance

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The Use of Intelligent Decision Support System in Traveloka Company's Decision-Making Process Dea Aprizanti; Norbaida Norbaida; Siti Arini; Titin Sumarni
Nomico Vol. 1 No. 5 (2024): Nomico-June
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/csab9b06

Abstract

The aviation industry is currently experiencing rapid growth due to advancements in information technology, which have transformed the way consumers search for information and book tickets online. Traveloka, founded in March 2012, is one of the companies that has successfully leveraged this technology optimally. With intelligent algorithms, Traveloka can analyze user preferences and provide suitable recommendations, although the effectiveness of its intelligent support system needs further investigation to enhance user satisfaction and operational efficiency. This study aims to evaluate the effectiveness of Traveloka's intelligent support system in decision-making, using qualitative methods and a literature review approach. The development model proposed by Peter Fenrich is used to ensure that the system built can effectively and efficiently meet user needs. The research results show that Traveloka's intelligent support system is very helpful in providing accurate recommendations, increasing user satisfaction and operational efficiency, and providing a competitive advantage in the e-commerce market. Overall, the use of information technology and intelligent support systems at Traveloka significantly contributes to the advancement of the aviation industry, simplifies the ticket booking process, and enhances the company's competitiveness. Further research is needed to continue improving the effectiveness and efficiency of this system, thereby providing greater benefits for consumers and the company.
Studi Underpricing Saham di Penawaran Umum Primer di Bursa Efek Indonesia Sebelum Penyebaran Pandemi Covid Global Siti Arini; Siti Hardianti; Julia Yani; Joni Hendra K
Journal of Management Accounting, Tax and Production Vol. 2 No. 2 (2024): September 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/mantap.v2i2.2793

Abstract

Penelitian ini bertujuan menganalisis underpricing saham di penawaran pasar primer (IPO) di Bursa Efek Indonesia sebelum pandemi Covid-19. Topik ini penting karena underpricing dapat mempengaruhi keputusan investasi dan kinerja mitra. Metode penelitian yang pakai ialah kuantitatif dengan mengumpulkan data sekunder dari prospektus mitra yang melakukan IPO di BEI sebelum pandemi. Data yang dianalisis meliputi harga penawaran, harga penutupan hari pertama, reputasi underwriter, umur mitra, dan kondisi pasar. Hasil penelitian menunjukkan terjadinya underpricing pada sebagian besar mitra IPO, dengan tingkat yang bervariasi dan dipengaruhi oleh faktor-faktor seperti reputasi underwriter, umur mitra, dan kondisi pasar. Mitra dengan underwriter bereputasi baik dan mitra yang lebih tua cenderung memiliki underpricing lebih rendah, sementara kondisi pasar yang menguntungkan dapat meningkatkan underpricing. Kesimpulannya, underpricing merupakan fenomena umum dalam IPO di BEI sebelum pandemi Covid-19, dan pemahaman tentang faktor-faktornya dapat membantu pengambilan keputusan terkait IPO.
Co-Authors Dea Aprizanti Joni Hendra K Julia Yani Norbaida Norbaida Siti Hardianti Titin Sumarni